11 citations · 42 across the 23 of their papers we have counts for
15 papers · 1 filter
Counterargument for Critical Thinking as Judged by AI and Humans
Tosin Adewumi, Marcus Liwicki, Foteini Simistira Liwicki +3
This intervention study investigates the use of counterarguments in writing for critical thinking by students in the context of Generative AI (GenAI). This is especially as risks o…
Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning
Tosin Adewumi, Foteini Simistira Liwicki, Marcus Liwicki +3
This paper presents an intervention study on the effects of the combined methods of (1) the Socratic method, (2) Chain of Thought (CoT) reasoning, (3) simplified gamification and (…
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets
Tosin Adewumi, Isabella Södergren, Lama Alkhaled +3
We investigate five English NLP benchmark datasets (on the superGLUE leaderboard) and two Swedish datasets for bias, along multiple axes. The datasets are the following: Boolean Qu…
T5 for Hate Speech, Augmented Data and Ensemble
Tosin Adewumi, Sana Sabah Sabry, Nosheen Abid +2
We conduct relatively extensive investigations of automatic hate speech (HS) detection using different state-of-the-art (SoTA) baselines over 11 subtasks of 6 different datasets. O…
AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages
Tosin Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo +17
Dialogue generation is an important NLP task fraught with many challenges. The challenges become more daunting for low-resource African languages. To enable the creation of dialogu…
Vector Representations of Idioms in Conversational Systems
Tosin Adewumi, Foteini Liwicki, Marcus Liwicki
We demonstrate, in this study, that an open-domain conversational system trained on idioms or figurative language generates more fitting responses to prompts containing idioms. Idi…
ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language
Tosin Adewumi, Lama Alkhaled, Hamam Mokayed +2
This paper describes the system used by the Machine Learning Group of LTU in subtask 1 of the SemEval-2022 Task 4: Patronizing and Condescending Language (PCL) Detection. Our syste…
State-of-the-art in Open-domain Conversational AI: A Survey
Tosin Adewumi, Foteini Liwicki, Marcus Liwicki
We survey SoTA open-domain conversational AI models with the purpose of presenting the prevailing challenges that still exist to spur future research. In addition, we provide stati…
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer
Sana Sabah Sabry, Tosin Adewumi, Nosheen Abid +3
We investigate the performance of a state-of-the art (SoTA) architecture T5 (available on the SuperGLUE) and compare with it 3 other previous SoTA architectures across 5 different…
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning
Tosin Adewumi, Rickard Brännvall, Nosheen Abid +4
Building open-domain conversational systems (or chatbots) that produce convincing responses is a recognized challenge. Recent state-of-the-art (SoTA) transformer-based models for t…
Potential Idiomatic Expression (PIE)-English: Corpus for Classes of Idioms
Tosin P. Adewumi, Roshanak Vadoodi, Aparajita Tripathy +3
We present a fairly large, Potential Idiomatic Expression (PIE) dataset for Natural Language Processing (NLP) in English. The challenges with NLP systems with regards to tasks such…
The Challenge of Diacritics in Yoruba Embeddings
Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki
The major contributions of this work include the empirical establishment of a better performance for Yoruba embeddings from undiacritized (normalized) dataset and provision of new…
Corpora Compared: The Case of the Swedish Gigaword & Wikipedia Corpora
Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki
In this work, we show that the difference in performance of embeddings from differently sourced data for a given language can be due to other factors besides data size. Natural lan…
Exploring Swedish & English fastText Embeddings for NER with the Transformer
Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki
In this paper, our main contributions are that embeddings from relatively smaller corpora can outperform ones from larger corpora and we make the new Swedish analogy test set publi…
Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks
Tosin P. Adewumi, Foteini Liwicki, Marcus Liwicki
Word2Vec is a prominent model for natural language processing (NLP) tasks. Similar inspiration is found in distributed embeddings for new state-of-the-art (SotA) deep neural networ…